The University of Texas at Austin McCombs School of Business

The course was engaging, informative, and expertly structured, providing me with both theoretical knowledge and practical insights. The real-world applications and hands-on projects truly enhanced my understanding of AIML concepts. A special thanks to... Read More my Programme Manager, Tania, for her exceptional support, guidance, and dedication. Her expertise, patience, and encouragement made a significant difference in my learning journey.

I highly recommend this program to anyone looking to develop their skills in AIML. The comprehensive curriculum, interactive approach, and dedicated instructors make it an outstanding choice for learners.

Thank you again to Tania and the entire team for creating such a valuable and enriching experience!

I am so grateful to the team at Great Learning, and the University of Texas at Austin. My time as a student in the Data Science & Business Analytics program became difficult overtime due to personal matters. I was unable to balance school, work, and family... Read More matters around my dad’s health. But, both faculty at Great Learning and University of Texas at Austin, was able to assist me with reducing the pressure of meeting deadlines. I explained my situation to the advisors. And, as a result, I was able to find ways to balance school, work, and continue to be a caregiver to my father. With all that I had going on I was also able to continue to maintain a high GPA that was well-over a 3.0, but a 3.7.

Taking courses online isn’t an easy task with all the study materials, lectures, and project deadlines you have to meet. But, big appreciation goes out to the team that managed my program from both Great Learning and University of Texas at Austin. You guys were the best, and I can’t thank you enough for everything!

The program for AI ML was very thorough. Enjoyed going through the detailed modules. The reference material was in abundance and the mentors 1:1 sessions were great as well. The entire team was very supportive and helped me through along the course. Would... Read More definitely recommend to go for this course if you are looking to upskill.

I came into the program with no working knowledge in the field of Data science. The curriculum covered basics and then progressed to cover highly advanced topics like various types of Neural Networks, LLMs, GenAI etc., all the while keeping the pace such... Read More that it never felt overwhelming and at the same time provided ample opportunities to learn, explore above and beyond and test one's abilities. The quality of instructors, program managers and overall support made the program quite rewarding and enjoyable. Highly recommend this to anyone wanting to gain enhanced knowledge in the field of Advanced Machine Learning and Deep Learning.

I definitely appreciated the help that was always ready for me. Workload is not too bad when you’re able to manage your time. The information in this course will definitely be something I know I will come across again. Coming from a different background,... Read More I definitely felt intimated in the beginning, but the resources are endless.

Pros - The online courses are well-organized and easy to navigate. Instructors are very good at transferring complex information into easily understandable concepts. The live classes were excellent opportunities to reinforce learning. I met and connected... Read More with other professionals seeking to up skill and remain relevant in the ever-changing and evolving environment of data science and technology.

Cons - Time commitment was more than expected :)

Absolutely loved the course! Helped me get a good grip on Data Science! I think the pace of the course was good and I liked how new and advanced concepts were introduced in every module! The projects we did had a lot of layering and they helped in solidifying... Read More the concepts from prior modules. I liked the AI based hands-on exercises. I think those are great value-adds to those who intend to get hands-on with data science. Last, but not least, the program managers did a great job in keeping us updated, offering us flexibility as needed and encouraging us on! Thank you!

This was one of the best courses offered for AI and Machine Learning. Before taking the course, had tried learning it by myself with every concept being a black box to me. Now, I can confidently approach any AI and ML tasks. The course content is been... Read More prepared with so much care that even anyone new to these concepts can understand easily. The mentored learning sessions offered great insights in to the concepts covered. Also, with regards to the communication, the coordinator communicates and address all the need of the student with much care. I am pleased to have taken this course and looking forward to my future with AI & ML field. Thanks University of Texas @ Austin and Great Learning for making me as a good candidate for any ML tasks.

The pro is a lot of learning. The program challenges you to think like an analyst and data scientist, which grows critical thinking skills. Also, there are weekly class meetings to attend and you can ask questions. The program also gave me the confidence... Read More to secure an analyst position in a government job. The con is managing time appropriately to get coursework done. If you work full time be prepared to commit 8-12 hours per week at minimum. You will need to find ways to focus and put distractions to the side when working on projects. Projects are highly analytical and detail oriented.

I am currently studying the PG Program in AI & Machine Learning: Business Applications, and so far it has exceeded all my expectations. The mentor sessions on the weekends are incredibly valuable—they provide in-depth insights and clarify any questions,... Read More ensuring that I truly understand each concept. Additionally, the support group, AI mentor, and program manager have all been exceptional, offering guidance and fostering a collaborative learning environment.

What really sets this program apart are the projects, which incorporate real-life examples and practical applications. These projects have allowed me to apply machine learning techniques to real-world scenarios, making the learning experience both engaging and directly relevant to today's business challenges.